1 Project Introduction

MNA Region 1 Otipemisiwak Lac La Biche District 19 began their camera program in 2023 and deployed 18 cameras between October 2023 and October 2024. These cameras were primarily deployed along the Old Conklin Road near Lac La Biche (see Figure below) in clusters of 4 cameras.

The goal of the program was to evaluate the specific oil sands disturbance type of pipelines and roads compared to reference (low disturbance) areas. The achieve this, 2 clusters of 4 cameras were deployed along pipeline right of ways and roads at distances up to 100 metres. Additionally, 2 clusters of cameras were deployed in reference areas picked by the community.

The images from this project can be accessed on WildTrax here: OCR 2023-2024 Lac La Biche Cameras.


MNA Region 1 Field Crew with Dave Evans from ABMI CBME deploying cameras.

Figure 1.1: MNA Region 1 Field Crew with Dave Evans from ABMI CBME deploying cameras.


2 Camera Locations

The following interactive map can be used to explore the locations of the cameras deployed by MNA Region 1. Satellite imagery can switched on and off using the button in the top right of the top.



3 Camera Operating Times


Here we display when the cameras were operating so we can check for any discrepancies and failures in the camera deployment.


4 Number of Images Collected

The figure below displays the total number of images collected on the most common 8 species present in the MNA Region 1 camera project.

Total Number of Images Captured By MNA Region 1 2023-2024 Camera Project

Figure 4.1: Total Number of Images Captured By MNA Region 1 2023-2024 Camera Project


You can download the figure by clicking this link.

For a complete list of all the species, you can go to the project on WildTrax and click on the ‘Species Verification’ tab of the project.


5 Independent Detections Over Time

With camera data, one useful metric to track over time is the number of “independent” detections captured for each species. In this case, an independent detection is defined as an image or series of images captured for a given species within a specific time interval. In the figure below we present the number of independent detections for each of the 8 main species using a 30 minute time interval; that is, images captured within 30 minutes of each other count toward a single detection and images with a gap of greater than 30 minutes between them count as multiple independent detections. Images that are captured of the same species over less than 30 minutes are assumed to be of the same individual, or group of individuals.


Independent Species Detections Captured By MNA Region 1 2023-2024 Camera Project

Figure 5.1: Independent Species Detections Captured By MNA Region 1 2023-2024 Camera Project

You can download the figure by clicking this link.


5.1 Species-specific figures

Here is displayed each of the species independent detections individually, which can be toggled through using the tabs below.

White-tailed Deer

Independent Detections for White-tailed Deer

Figure 5.2: Independent Detections for White-tailed Deer

Download figure with this link.


Black Bear

Independent Detections for Black Bear

Figure 5.3: Independent Detections for Black Bear

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Canada Lynx

Independent Detections for Canada Lynx

Figure 5.4: Independent Detections for Canada Lynx

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Coyote

Independent Detections for Coyote

Figure 5.5: Independent Detections for Coyote

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Gray Wolf

Independent Detections for Gray Wolf

Figure 5.6: Independent Detections for Gray Wolf

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Moose

Independent Detections for Moose

Figure 5.7: Independent Detections for Moose

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Snowshoe Hare

Independent Detections for Snowshoe Hare

Figure 5.8: Independent Detections for Snowshoe Hare

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Woodland Caribou

Independent Detections for Woodland Caribou

Figure 5.9: Independent Detections for Woodland Caribou

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6 Temporal Activity Patterns

Given that camera traps operate 24 hours a day, 7 days a week, and can record animal motion down to second-level precision, they represent a powerful tool to explore and contrast the activity patterns of the species they detect. Such analyses can give insight into competition, predation, and coexistence.

In this section we present the temporal (diel) activity patterns for each of the 8 species from MNA Region 1 cameras.

White-tailed Deer

Activity Pattern of White-tailed Deer

Figure 6.1: Activity Pattern of White-tailed Deer

White-tailed deer display a diurnal pattern in this data, with activity peaks at both dawn and dusk.


Black Bear

Activity Pattern of Black Bear

Figure 6.2: Activity Pattern of Black Bear

Black Bears are more active in the evenings and overnight.


Canada Lynx

Activity Pattern of Canada Lynx

Figure 6.3: Activity Pattern of Canada Lynx


Coyote

Activity Pattern of Coyote

Figure 6.4: Activity Pattern of Coyote

Coyotes are primarily active during the nighttime.


Gray Wolf

Activity Pattern of Gray Wolf

Figure 6.5: Activity Pattern of Gray Wolf

Wolves are primarily active at dusk.


Moose

Activity Pattern of Moose

Figure 6.6: Activity Pattern of Moose

Moose activity peaks during the dawn periods.


Snowshoe Hare

Activity Pattern of Snowshoe Hare

Figure 6.7: Activity Pattern of Snowshoe Hare

Snowshoe Hare are most active at night.


Woodland Caribou

Activity Pattern of Woodland Caribou

Figure 6.8: Activity Pattern of Woodland Caribou


7 Species Co-Occurences

Camera trap data are being increasingly used to model multiple species communities, and we can use this data to explore the co-occurrence patterns of the species in the community.

The plot below displays pairwise correlations between the species on the left and the species on the top row. Blue colours indicate positive correlation, meaning that the two species are positively associated with one another. Red colours indicate the opposite, that where you have high counts of one species you likely have low counts of the other (and vice versa).

Species Co-Occurrences at MNA Region 1 Camera Deployments

Figure 7.1: Species Co-Occurrences at MNA Region 1 Camera Deployments

8 Evaluating Oil Sands Disturbances

In this section we present the results from MNA Region 1 camera deployments evaluating the impact of specific oil sands stressors on wildlife within MNA Region 1: pipelines and roads. To do this, we estimated the species-specific density at each camera using the Time in Front of Camera (TIFC) approach (Becker et al., 2022). This method has previously been used to estimate densities of unmarked populations of both white-tailed deer and moose in the boreal region of Alberta. Analagous to quadrat sampling, the TIFC approach involves (for each camera) multiplying the number of animals observed by the total time they spend in front of the camera, which is then divided by the product of the area effectively sampled by the camera and the total time the camera was operating. This calculation yields an estimate of animals per unit area (i.e., ‘density’).

The following plots show the average camera density at each of the clusters. There are 3 reference clusters, 2 road clusters, and 1 linear features cluster (pipelines). The tabs can be used to toggle through each individual species results.

White-tailed Deer

White-tailed Deer Density By Treatment

Figure 8.1: White-tailed Deer Density By Treatment

Black Bear

Black Bear Density By Treatment

Figure 8.2: Black Bear Density By Treatment

Canada Lynx

Canada Lynx Density By Treatment

Figure 8.3: Canada Lynx Density By Treatment

Coyote

Coyote Density By Treatment

Figure 8.4: Coyote Density By Treatment

Gray Wolf

Gray Wolf Density By Treatment

Figure 8.5: Gray Wolf Density By Treatment

Moose

Moose Density By Treatment

Figure 8.6: Moose Density By Treatment

Snowshoe Hare

Snowshoe Hare Density By Treatment

Figure 8.7: Snowshoe Hare Density By Treatment

Woodland Caribou

Woodland Caribou Density By Treatment

Figure 8.8: Woodland Caribou Density By Treatment

9 Comparison to Regional OSM Monitoring

In this section we compare the results from the 6 camera clusters deployed by MNA Region 1 to those deployed as part of the broader regional OSM monitoring done by the ABMI. The ABMI deploys clusters of cameras (called ‘Joint Environmental Monitoring Sites’, or JEMS) in a similar fashion to MNA Region 1, targeting the physical footprint and adjacent areas of oil sands disturbances. These disturbances include linear features, low activity well pads, high activity in situ facilities, oil sands roads, and processing plant/mining operations. Low disturbance (reference) areas are also surveyed.

There are two common stressors examined by the MNA Region 1 cameras and the regional monitoring done by the ABMI: linear features and roads, as well as reference areas. In the figures below for each species, we plot out the values obtained from ABMI JEM sites alongside the MNA Region 1 values, as well as the overall mean value for each treatment.

White-tailed Deer

White-tailed Deer Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Figure 9.1: White-tailed Deer Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Black Bear

Black Bear Results from Regional OSM Monitoring

Figure 9.2: Black Bear Results from Regional OSM Monitoring

Canada Lynx

Canada Lynx Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Figure 9.3: Canada Lynx Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Coyote

Coyote Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Figure 9.4: Coyote Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Gray Wolf

Gray Wolf Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Figure 9.5: Gray Wolf Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Moose

Moose Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Figure 9.6: Moose Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Snowshoe Hare

Snowshoe Hare Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Figure 9.7: Snowshoe Hare Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Woodland Caribou

White-tailed Deer Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

Figure 9.8: White-tailed Deer Results from Regional OSM Monitoring. Error bars on the mean value represent a 90% confidence value.

10 ABMI Species Model Predictions in Study Area